Robotics
Embodied AI in 2026: How Robot Foundation Models Learn to Act in the Physical World
Embodied AI in 2026 hinges on action learning, not perception. Learn how robot foundation models and VLA architectures work — and how to vet vendors.
Articles by Hannah Weiss
NLP & LLMs
Multimodal Reasoning Benchmarks: How 2026 LLMs Actually Perform
What 2026 multimodal reasoning benchmarks really measure, where top LLMs improved, and where the scores mislead enterprise buyers.
Computer Vision
Computer Vision in 2026: From Detection to Foundation-Model Grounding for Production Pipelines
How production computer vision shifts from hand-labeled detection to foundation-model grounding in 2026 — architectures, costs, and an adoption path for engineering teams.
Robotics
Embodied AI Meets LLMs: How 2026 Robotics Stacks Use Foundation Models for Real-World Control
A practical look at how 2026 robotics stacks combine foundation models, VLAs, data, latency budgets, and safety layers to control robots in the real world.
Robotics
Embodied AI in 2026: How Vision-Language-Action Models Are Bridging Simulation and Real-World Robotics
VLA models are closing the sim-to-real gap in robotics: architecture, data flywheel, real2sim, latency, and safety in 2026.
NLP & LLMs
Multimodal Reasoning in 2026: How New LLM Architectures Are Closing the Gap Between Text, Vision, and Action
A research look at how natively multimodal LLM architectures are narrowing the reasoning gap between text, vision, and action, and what enterprise teams should evaluate.
AI Safety & Alignment
Safeguarding Autonomous Multi-Agent Systems: Safety Controls for Self-Improving Agent Workflows
Multi-agent systems change AI safety from guarding a model to governing a system. The 2026 playbook for least agency, defense-in-depth, guardrails, identity, sandboxing, and observability that makes self-improving agents safely deployable.
Robotics
Embodied Intelligence Goes to Work: How Vision-Language-Action Models Are Automating Physical Operations
Robots have handled repetitive work for decades. But each task needed new code, new grippers, and months of integration. That model is changing. Vision-L...
Reinforcement Learning
RL Beyond Gaming: How Reinforcement Learning Is Optimizing Real-World Operations
Reinforcement Learning has moved beyond gaming into the control room. A practical, implementation-focused look at how RL optimizes process control, energy grids, data center cooling, supply chains, and robotics — plus the hard realities of production deployment.
Computer Vision
Video Understanding Models in 2026: What Multimodal Benchmarks Actually Measure
Multimodal video benchmarks measure narrow proxies, not true understanding. A practical look at VideoQA, temporal reasoning, contamination, and how to evaluate video models for production in 2026.
NLP & LLMs
Long-Context and Multimodal Reasoning: How 2026 LLMs Are Closing the Enterprise Data Gap
The Million-Token Moment Has Arrived For years, the biggest constraint on enterprise AI was a simple one. You could not fit your data into the model. A 40-p...
Computer Vision
Vision-Language Models Beyond Chat: How Multimodal Models Are Rebuilding Industrial Inspection
Vision-language models are moving beyond chatbots into industrial inspection. Here's how grounding, zero-shot detection, and robotics are rebuilding quality control — and the honest tradeoffs IT teams must weigh.
AI Safety & Alignment
Guardrailing Compound Agents: AI Safety Controls for Multi-Step Autonomous Workflows
Compound Agents 101: Anatomy of a Multi-Step Workflow
Computer Vision
Vision-Language Models in 2026: Benchmarks, Capabilities, and Where They Work in Business
Vision-Language Models in 2026: Benchmarks, Capabilities, and Where They Work in Business
Robotics
Vision-Language-Action Models: Making Robots Generalize
Vision-language-action models let robots handle new objects, scenes, and instructions. Here is how VLA stacks work, what
Robotics
From Chatbots to Robots: How Embodied AI and Agentic Autonomy Are Reshaping the Physical Workforce in 2026
How embodied AI and agentic autonomy are moving intelligence from the chat window into factories and warehouses — and what that means for teams planning physica
Computer Vision
Vision-Language Models in Industrial Inspection: The 2026 Playbook for Quality Control at Scale
Vision-Language Models in Industrial Inspection: The 2026 Playbook for Quality Control at Scale
Reinforcement Learning
RL Beyond Gaming: How Reinforcement Learning Is Powering 2026's Autonomous Enterprise Systems
How reinforcement learning powers 2026's autonomous enterprise systems — digital twins, RLHF, supply chain, pricing, and
Computer Vision
Vision-Language Models in 2026: Multimodal Benchmarks and Enterprise Use Cases
How vision-language models are reshaping multimodal AI in 2026, with benchmark analysis and real enterprise use cases.
AI Research
The Frontier of World Models: Can LLMs Learn Physics and Spatio-Temporal Reasoning?
World models learn internal representations of physical environments that next-token predictors cannot. A grounded look at JEPA, Genie 3, NVIDIA Cosmos, and the road to spatio-temporal reasoning and embodied AI.
Computer Vision
Vision-Language Models in Medical Imaging: How VLM Architectures Are Outperforming Radiologists in Early Cancer Detection
The question is no longer whether AI can detect cancer. The question is where and by how much it outperforms human radiologists. Vision-language models (VLMs) are a class of multimodal AI that combin...
Robotics
Vision-Language Models in Robotics: How VLA Models Are Enabling Robots to Understand Complex Human Instructions
Robotics has spent decades building brittle, handcrafted pipelines. VLAs represent the most consequential architectural shift in a generation — collapsing perception, language understanding, and continuous motor control into a single neural network.